active personalisation learning paths

for students to get a clear view about their proficiency & ace their respective exams

my role

product thinking & design

timeline

2-3 months

project overview

PhysicsWallah is an Indian educational technology company that has made significant strides in the ed-tech sector since its inception in 2016. It's rapid growth can be attributed to its commitment to providing quality education at affordable prices, making it accessible to a large number of Indian students. This approach has allowed it to compete effectively with more established players in the market. In 2022, the company achieved unicorn status after securing $100 million in funding, highlighting its impact on the Indian education landscape.

problem statement

Currently, a generic set of DPPs and questions are given to the students (in JEE & NEET cohorts) to practice in each chapter and it’s very difficult for the student to know their proficiency in a chapter, understand the learning gaps and take next steps to fix those gaps. This leads to a reduced learning outcome due to lack of targeted practice by the student. This feature is a step towards personalising the learning experience at user level which utilises student’s practice data in a chapter to find their proficiency and suggest study paths according to that.

solution

Previously students were still able to create study paths and follow their curated study paths, but we wanted to convert this into an active behaviour because students are already attending lectures, attempting daily practice papers and what not and we wanted to help students cover/revisit their topics 3x faster.


So we introduced personalised learning paths with the help of AI wherein:


  1. We introduced "one shot videos" instead of hour long lectures to quickly glance over their chapter

  2. Introduced Beginner, JEE Mains & JEE Advanced levels of proficiency that they need to accomplish to be ready for the respective exams

  3. Brief yet concise chapter notes to help them at every step of the way


All of these features were showcased within a AI created study path in a timeline format where they could have each step count as a milestone, ultimately reaching JEE Advanced levels of proficiency

success metrics

  1. Student proficiency should increase towards higher milestones.

  2. In long term, feature should tie up to improvement quality and quantity of ranks in actual JEE & NEET exams.